☆26Jun 16, 2018Updated 8 years ago
Alternatives and similar repositories for parametric-discovery
Users that are interested in parametric-discovery are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆282Nov 4, 2022Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆34Oct 30, 2023Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆14Apr 10, 2021Updated 5 years ago
- This implementation of DeePyMoD is no longer maintained! We switched to a PyTorch based implementation: https://github.com/PhIMaL/DeePyM…☆24Jan 30, 2020Updated 6 years ago
- ☆30Mar 18, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 years ago
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 6 years ago
- ☆63Jul 24, 2019Updated 7 years ago
- The MegaFlow2D dataset package☆25Sep 21, 2023Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆97May 11, 2022Updated 4 years ago
- Tutorial on a number of topics in Deep Learning☆38Feb 20, 2020Updated 6 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 9 years ago
- Soleil-X is a turbulence/particle/radiation solver written in the Regent language for execution with the Legion runtime.☆17Jul 16, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆63Jan 8, 2021Updated 5 years ago
- ☆12Jan 29, 2025Updated last year
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆66Feb 20, 2020Updated 6 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- ☆12Jul 22, 2022Updated 4 years ago
- This Program will help people identify common C syntax mistake that they had done in their program and some checks.☆11Jun 11, 2020Updated 6 years ago
- Code for ICML2025 Paper "Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models"☆17Jun 27, 2025Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ☆15Nov 18, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆36Feb 10, 2021Updated 5 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 6 years ago
- ☆54Nov 6, 2023Updated 2 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval☆12Feb 26, 2019Updated 7 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆46Sep 30, 2022Updated 3 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20May 1, 2021Updated 5 years ago
- PDE-Net: Learning PDEs from Data☆332Jun 26, 2021Updated 5 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆62Jan 25, 2022Updated 4 years ago
- Codebase for "HyPINO: Multi-Physics Neural Operators via HyperPINNs and the Method of Manufactured Solutions"☆21Oct 19, 2025Updated 11 months ago
- ☆16Oct 25, 2023Updated 2 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Mar 25, 2019Updated 7 years ago
- ☆11Sep 20, 2016Updated 10 years ago
- Automated mesher for turbomachinery applications☆10Jan 21, 2026Updated 8 months ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆111Aug 4, 2020Updated 6 years ago